Stephen D McLeod

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Infectious Diseases

Loop Mediated Isothermal Amplification

Top Venues

Journal of medical Internet research

JMIR infodemiology

This page only lists publications with an associated author ORCID identifier.

Publications

Michael S Deiner, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thuy A Doan, Thomas M Lietman, Travis C Porco
Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study. Journal of medical Internet research 26 (2024)
Michael S Deiner, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thuy A Doan, Thomas M Lietman, Travis C Porco
Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study. Journal of medical Internet research 26 (2024)
Michael S Deiner, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thuy A Doan, Thomas M Lietman, Travis C Porco
Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study. Journal of medical Internet research 26 (2024)
Michael S Deiner, Natalie A Deiner, Vagelis Hristidis, Stephen D McLeod, Thuy A Doan, Thomas M Lietman, Travis C Porco
Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study. Journal of medical Internet research 26 (2024)
Michael S Deiner, Gurbani Kaur, Stephen D McLeod, Julie M Schallhorn, James Chodosh, Daniel H Hwang, Thomas M Lietman, Travis C Porco
A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of medical Internet research 24 (7) (2022)
Michael S Deiner, Gerami D Seitzman, Gurbani Kaur, Stephen D McLeod, James Chodosh, Thomas M Lietman, Travis C Porco
Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study. JMIR infodemiology 2 (1) (2022)